r.mcda.promethee - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that has been discontinued. You should upgrade, and read the current manual page.

NAME

r.mcda.promethee - Multicirtieria decision analysis based on PROMETHEE method

KEYWORDS

raster, MCDA

SYNOPSIS

r.mcda.promethee

r.mcda.promethee --help

r.mcda.promethee criteria=string[,string,...] weight=float[,float,...] positiveflow=string negativeflow=string [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

criteria=string[,string,...] [required]: Input geographics criteria in information system
weight=float[,float,...] [required]: Criteria weight(s) (w1,w2,..,wn)
positiveflow=string [required]: positive flow output map; Default: positiveflow
negativeflow=string [required]: negative flow output map; Default: negativeflow

DESCRIPTION
NOTES
CITE AS
REFERENCE
SEE ALSO
AUTHORS

DESCRIPTION

r.mcda.promethee is the implementation of the a multicriteria decision analysis based on PROMETHEE algorithm (J.P. Brans and P. Vincke (1985). "A preference ranking organisation method:The PROMETHEE method for MCDM". Management Science) in GRASS GIS environment. It is one of the available tools in the r.mcda suite. It requires as an input the list of raster representing the criteria to be assessed in the multicriteria evaluation and the vector of weights to be assigned. Every single cell of the GRASS region is considered as one of the possible alternatives to evaluate and it is described with the value assumed for the same cell by the raster used as criteria. There are three output files. One represents the spatial distribution of the concordance index, the other one of the discordance index. The optimal solution is the one presenting the maximum concordance value and the minimum discordance value at the same time.

NOTES

The module does not standardize the raster-criteria. Therefore, they must be prepared before by using, for example, r.mapcalc. The weights vector is always normalized so that the sum of the weights is 1.

CITE AS

Massei, G., Rocchi, L., Paolotti, L., Greco, S., & Boggia, Decision Support Systems for environmental management: A case study on wastewater from agriculture, Journal of Environmental Management, Volume 146, 15 December 2014, Pages 491-504, ISSN 0301-4797

REFERENCE

J.P. Brans and P. Vincke (1985). "A preference ranking organisation method:The PROMETHEE method for MCDM". Management Science.

GRASS Development Team (2015)

AUTHORS

Antonio Boggia - Gianluca Massei
Department of Economics and Appraisal - University of Perugia - Italy

SOURCE CODE

Available at: r.mcda.promethee source code (history)

Latest change: Monday Jan 30 19:52:26 2023 in commit: cac8d9d848299297977d1315b7e90cc3f7698730